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N. Groschwitz and G. Polyzos, "A Time-Series Model of Long-Term Traffic on the NSFNET Backbone", in IEEE International Conference on Communications (ICC), May 1994.
| A Time-Series Model of Long-Term Traffic on the NSFNET Backbone | |
| Authors: |
N. Groschwitz G. Polyzos |
| Published: | IEEE International Conference on Communications (ICC), 1994 |
| URL: | http://www.caida.org/publications/papers/1994/tsm/ |
| Entry Date: | 2004-02-06 |
| Abstract: |
We used time series analysis to create detailed forecasts of future NSFNET backbone traffic. The resultin g ARIMA model made quite accurate forecasts of traffic levels up to a year in advance. It appears that the model can make reasonable predictions for two or more years into the future, suggesting that ARIMA modeling has great promise as a tool for long-range NSFNET forecasting and planning. |
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